Fahrmeir: Data from the book ”Multivariate Statistical Modelling Based on Generalized Linear Models”, first edition, by Ludwig Fahrmeir and Gerhard Tutz. Data and functions for the book ”Multivariate Statistical Modelling Based on Generalized Linear Models”, version 1, by Ludwig Fahrmeir and Gerhard Tutz

References in zbMATH (referenced in 174 articles )

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  1. Groll, Andreas; Tutz, Gerhard: Variable selection in discrete survival models including heterogeneity (2017)
  2. Huang, Ming-Yueh; Chiang, Chin-Tsang: Estimation and inference procedures for semiparametric distribution models with varying linear-index (2017)
  3. Riebler, Andrea; Held, Leonhard: Projecting the future burden of cancer: Bayesian age-period-cohort analysis with integrated nested Laplace approximations (2017)
  4. Wegener, Michael; Kauermann, Göran: Forecasting in nonlinear univariate time series using penalized splines (2017)
  5. Deng, Dianliang; Paul, Sudhir R.: Goodness of fit of product multinomial regression models to sparse data (2016)
  6. Kalema, George; Molenberghs, Geert; Kassahun, Wondwosen: Second-order generalized estimating equations for correlated count data (2016)
  7. Shi, Peng; Feng, Xiaoping; Boucher, Jean-Philippe: Multilevel modeling of insurance claims using copulas (2016)
  8. Weiß, Christian H.; Schweer, Sebastian: Bias corrections for moment estimators in Poisson INAR(1) and INARCH(1) processes (2016)
  9. Pupashenko, Daria; Ruckdeschel, Peter; Kohl, Matthias: $L_2$ differentiability of generalized linear models (2015)
  10. Zhao, Jiwei; Cook, Richard J.; Wu, Changbao: Multiple imputation for the analysis of incomplete compound variables (2015)
  11. Christou, Vasiliki; Fokianos, Konstantinos: Quasi-likelihood inference for negative binomial time series models (2014)
  12. Cordeiro, Gauss M.; Botter, Denise A.; Cavalcanti, Alexsandro B.; Barroso, Lúcia P.: Covariance matrix of the bias-corrected maximum likelihood estimator in generalized linear models (2014)
  13. Das, I.; Mukhopadhyay, S.: On generalized multinomial models and joint percentile estimation (2014)
  14. Duarte, Elisa; De Sousa, Bruno; Cadarso-Suarez, Carmen; Rodrigues, Vitor; Kneib, Thomas: Structured additive regression modeling of age of menarche and menopause in a breast cancer screening program (2014)
  15. Groll, Andreas; Tutz, Gerhard: Variable selection for generalized linear mixed models by $L_1$-penalized estimation (2014)
  16. Kang, Jiwon; Lee, Sangyeol: Parameter change test for Poisson autoregressive models (2014)
  17. Moysiadis, Theodoros; Fokianos, Konstantinos: On binary and categorical time series models with feedback (2014)
  18. Yue, Yu Ryan; Simpson, Daniel; Lindgren, Finn; Rue, Håvard: Bayesian adaptive smoothing splines using stochastic differential equations (2014)
  19. Anderson, Carolyn J.: Multidimensional item response theory models with collateral information as Poisson regression models (2013)
  20. Bry, X.; Trottier, C.; Verron, T.; Mortier, F.: Supervised component generalized linear regression using a PLS-extension of the Fisher scoring algorithm (2013)

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